TY - JOUR AU - Agustin-Flores, Javier AU - Németh, Károly AU - Cronin, Shane J AU - Lindsay, Jan M AU - Kereszturi, Gabor TI - Construction of the North Head (Maungauika) tuff cone: a product of Surtseyan volcanism, rare in the Auckland Volcanic Field, New Zealand JF - BULLETIN OF VOLCANOLOGY J2 - B VOLCANOL VL - 77 PY - 2015 IS - 2 PG - 17 SN - 0258-8900 DO - 10.1007/s00445-014-0892-9 UR - https://m2.mtmt.hu/api/publication/25677373 ID - 25677373 N1 - Összes idézések száma a WoS-ban: 0 LA - English DB - MTMT ER - TY - JOUR AU - Murcia, H AU - Németh, Károly AU - El-Masry, N N AU - Lindsay, J M AU - Moufti, M R H AU - Wameyo, P AU - Cronin, S J AU - Smith, I E M AU - Kereszturi, G TI - The Al-Du'aythah volcanic cones, Al-Madinah City: implications for volcanic hazards in northern Harrat Rahat, Kingdom of Saudi Arabia JF - BULLETIN OF VOLCANOLOGY J2 - B VOLCANOL VL - 77 PY - 2015 IS - 6 PG - 19 SN - 0258-8900 DO - 10.1007/s00445-015-0936-9 UR - https://m2.mtmt.hu/api/publication/25643992 ID - 25643992 N1 - School of Environment, The University of Auckland, Auckland, New Zealand Volcanic Risk Solutions, Massey University, Palmerston North, New Zealand Geohazards Research Center, King Abdulaziz University, Jeddah, Saudi Arabia Geology Department, Suez Canal University, Ismailia, Egypt Institute of Earth Science and Engineering, The University of Auckland, Auckland, New Zealand Cited By :11 Export Date: 25 February 2020 Correspondence Address: Murcia, H.; School of Environment, The University of AucklandNew Zealand Összes idézések száma a WoS-ban: 0 cited By 24 LA - English DB - MTMT ER - TY - JOUR AU - Kereszturi, G AU - Cappello, A AU - Ganci, G AU - Procter, J AU - Németh, Károly AU - Del Negro, C AU - Cronin, SJ TI - Numerical simulation of basaltic lava flows in the Auckland Volcanic Field, New Zealand—implication for volcanic hazard assessment JF - BULLETIN OF VOLCANOLOGY J2 - B VOLCANOL VL - 76 PY - 2014 IS - 11 PG - 17 SN - 0258-8900 DO - 10.1007/s00445-014-0879-6 UR - https://m2.mtmt.hu/api/publication/24487515 ID - 24487515 LA - English DB - MTMT ER - TY - JOUR AU - Székely, Balázs AU - Koma, Zsófia AU - Karátson, Dávid AU - Dorninger, P AU - Wörner, G AU - Brandmeier, M AU - Nothegger, C TI - Automated recognition of quasi-planar ignimbrite sheets as paleosurfaces via robust segmentation of digital elevation models: an example from the Central Andes JF - EARTH SURFACE PROCESSES AND LANDFORMS J2 - EARTH SURF PROCESS LANDF VL - 39 PY - 2014 IS - 10 SP - 1386 EP - 1399 PG - 14 SN - 0197-9337 DO - 10.1002/esp.3606 UR - https://m2.mtmt.hu/api/publication/2707795 ID - 2707795 LA - English DB - MTMT ER - TY - JOUR AU - Kereszturi, Gabor AU - Németh, Károly AU - Cronin, Shane J AU - Agustin-Flores, Javier AU - Smith, Ian E M AU - Lindsay, Jan TI - A model for calculating eruptive volumes for monogenetic volcanoes - Implication for the Quaternary Auckland Volcanic Field, New Zealand JF - JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH J2 - J VOLCANOL GEOTH RES VL - 266 PY - 2013 SP - 16 EP - 33 PG - 18 SN - 0377-0273 DO - 10.1016/j.jvolgeores.2013.09.003 UR - https://m2.mtmt.hu/api/publication/25663940 ID - 25663940 N1 - Összes idézések száma a WoS-ban: 0 Volcanic Risk Solutions, Massey University, Private Bag 11 222, Palmerston North, New Zealand School of Environment, The University of Auckland, Auckland, New Zealand Cited By :84 Export Date: 21 June 2021 Correspondence Address: Kereszturi, G.; Volcanic Risk Solutions, Private Bag 11 222, Palmerston North, New Zealand; email: kereszturi_g@yahoo.com Funding details: Earthquake Commission, EQC Funding details: Natural Hazards Research Platform, NHRP Funding text 1: GK is supported by a PhD Research Fellowship offered by the Institute of Natural Resources at Massey University (New Zealand) . This work is supported by the FRST-IIOF project “Facing the challenge of Auckland's volcanism” and the Natural Hazards Research Platform project “Living with Volcanic Risk” hosted at Massey University and the DEtermining VOlcanic Risk in Auckland (DEVORA), a project co-funded by the NZ Earthquake Commission (EQC) and the Auckland City Council . We thank the Auckland City Council for the use of the LiDAR dataset, as well as the help with density measurement by Natalia Pardo (Massey University). The manuscript has improved significantly through the comments from the official and unofficial reviews, including Marco Neri, Pablo Grosse, Lucy McGee, Nicolas Le Corvec and Mark Bebbington. Funding Agency and Grant Number: Institute of Natural Resources at Massey University (New Zealand); FRST-IIOF project "Facing the challenge of Auckland's volcalism"; Natural Hazards Research Platform project "Living with Volcanic Risk"; NZ Earthquake Commission (EQC); Auckland City Council Funding text: GK is supported by a PhD Research Fellowship offered by the Institute of Natural Resources at Massey University (New Zealand). This work is supported by the FRST-IIOF project "Facing the challenge of Auckland's volcalism" and the Natural Hazards Research Platform project "Living with Volcanic Risk" hosted at Massey University and the DEtermining VOlcanic Risk in Auckland (DEVORA), a project co-funded by the NZ Earthquake Commission (EQC) and the Auckland City Council. We thank the Auckland City Council for the use of the LiDAR dataset, as well as the help with density measurement by Natalia Pardo (Massey University). The manuscript has improved significantly through the comments from the official and unofficial reviews, including Marco Neri, Pablo Grosse, Lucy McGee, Nicolas Le Corvec and Mark Bebbington. LA - English DB - MTMT ER - TY - JOUR AU - Kereszturi, Gabor AU - Geyer, Adelina AU - Marti, Joan AU - Németh, Károly AU - Javier, Doniz-Paez F TI - Evaluation of morphometry-based dating of monogenetic volcanoes-a case study from Bandas del Sur, Tenerife (Canary Islands) JF - BULLETIN OF VOLCANOLOGY J2 - B VOLCANOL VL - 75 PY - 2013 IS - 7 PG - 19 SN - 0258-8900 DO - 10.1007/s00445-013-0734-1 UR - https://m2.mtmt.hu/api/publication/25672806 ID - 25672806 LA - English DB - MTMT ER - TY - JOUR AU - Fornaciai,, A., AU - Favalli, M AU - Karátson, Dávid AU - Tarquini, S AU - Boschi, E TI - Morphometry of scoria cones, and their relation to geodynamic setting: A DEM-based analysis JF - JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH J2 - J VOLCANOL GEOTH RES VL - 217 PY - 2012 SP - 56 EP - 72 PG - 17 SN - 0377-0273 DO - 10.1016/j.jvolgeores.2011.12.012 UR - https://m2.mtmt.hu/api/publication/2098670 ID - 2098670 LA - English DB - MTMT ER - TY - JOUR AU - Kereszturi, G AU - Procter, J AU - Cronin, SJ AU - Németh, Károly AU - Bebbington, M AU - Lindsay, J TI - LiDAR-based quantification of lava flow susceptibility in the City of Auckland (New Zealand) JF - REMOTE SENSING OF ENVIRONMENT J2 - REMOTE SENS ENVIRON VL - 125 PY - 2012 SP - 198 EP - 213 PG - 16 SN - 0034-4257 DO - 10.1016/j.rse.2012.07.015 UR - https://m2.mtmt.hu/api/publication/2083403 ID - 2083403 AB - Lava flows represent one of the most significant volcanic hazards from basaltic monogenetic volcanoes, such as spatter cones, scoria cones, maars, and tuff rings. They are common features emanating from parasitic vents on the flanks of polygenetic volcanoes and in dominantly 'flat-lying' intraplate volcanic fields. The Auckland Volcanic Field (AVF) is a volcanic field that has been active for the last ca. 250ka, hosting at least 50 monogenetic volcanoes. Morphometric parameters of lava flows, such as volume, length, thickness and area, were used to quantify the potential lava-flow inundation susceptibility to New Zealand's most densely populated area, the City of Auckland based on an airborne Light Detection and Ranging (LiDAR) Digital Surface Model (DSM). The morphometric parameters of fifteen studied flows included: average length of 2.5km (range 0.7-6.5km), overall average thickness of 14.8m (range 3.4-43.8m), average of maximum thicknesses of 48.2m (range 18.3-180.5m), average area occupied of 5.1km 2 (range 0.4-25.1km 2) and average volume of 0.12km 3 (range 0.005-1km 3). Based on these parameters and a LiDAR-derived DSM, the present topography was classified into: sea, topographic depressions; low-lying areas prone to inundation by an average lava flow; buffer zones prone to inundation only by extremely thick lava flows; and peaks or ridges, which are unlikely to be overtopped. In monogenetic fields, each new vent occurs in a new location, creating uncertainty around the spatial location of the volcanic hazard. Thus, this research provides a general vent location-independent approach to describe the lava flow susceptibility for a potentially active monogenetic volcanic field. What this analysis reveals is that the City of Auckland can be divided into two distinct areas with strongly different susceptibility to lava flow inundation. The southern part of the City is predominantly flat, without hindrance to lava flow, whereas the hilly northern and central part has many ridges that can limit or channelise lavas. These contrasting properties must be accounted for in scenario-based or probabilistic hazard and risk models developed for the AVF. © 2012 Elsevier Inc. LA - English DB - MTMT ER - TY - CHAP AU - Jordán, Győző ED - Peckham, R J ED - Jordán, Győző TI - Digital Terrain Analysis in a GIS Environment. Concepts and Development T2 - Digital Terrain Modelling PB - Springer Netherlands CY - Berlin SN - 9783540367307 T3 - Lecture Notes in Geoinformation and Cartography PY - 2007 SP - 1 EP - 43 PG - 43 DO - 10.1007/978-3-540-36731-4_1 UR - https://m2.mtmt.hu/api/publication/1330263 ID - 1330263 LA - English DB - MTMT ER - TY - JOUR AU - Jordán, Győző AU - Meijninger, BML AU - van Hinsbergen, DJJ AU - Meulenkamp, JE AU - van Dijk, PM TI - Extraction of morphotectonic features from DEMs: Development and applications for study areas in Hungary and NW Greece JF - INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION J2 - INT J APPL EARTH OBS VL - 7 PY - 2005 IS - 3 SP - 163 EP - 182 PG - 20 SN - 1569-8432 DO - 10.1016/j.jag.2005.03.003 UR - https://m2.mtmt.hu/api/publication/1329287 ID - 1329287 AB - A procedure for the consistent application of digital terrain analysis methods to identify tectonic phenomena from geomorphology is developed and presented through two case studies. Based on the study of landforms related to faults, geomorphological characteristics are translated into mathematical and numerical algorithms. Topographic features represented by digital elevation models of the test areas were extracted, described and interpreted in terms of structural geology and geomorphology. Digital terrain modelling was carried out by means of the combined use of: (1) numerical differential geometry methods, (2) digital drainage network analysis, (3) digital geomorphometry, (4) digital image processing, (5) lineament extraction and analysis, (6) spatial and statistical analysis and (7) digital elevation model-specific digital methods, such as shaded relief models, digital cross-sections and 3D surface modelling. A sequential modelling scheme was developed and implemented to analyse two selected study sites, in Hungary and NW Greece on local and regional scales. Structural information from other sources, such as geological and geophysical maps, remotely sensed images and field observations were analysed with geographic information system techniques. Digital terrain analysis methods applied in the proposed way in this study could extract morphotectonic features from DEMs along known faults and they contributed to the tectonic interpretation of the study areas. (c) 2005 Elsevier B.V. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Jordán, Győző TI - Morphometric analysis and tectonic interpretation of digital terrain data: A case study JF - EARTH SURFACE PROCESSES AND LANDFORMS J2 - EARTH SURF PROCESS LANDF VL - 28 PY - 2003 IS - 8 SP - 807 EP - 822 PG - 16 SN - 0197-9337 DO - 10.1002/esp.469 UR - https://m2.mtmt.hu/api/publication/1329290 ID - 1329290 AB - Tectonic movement along faults is often reflected by characteristic geomorphological features such as linear valleys, ridgelines and slope-breaks, steep slopes of uniforin aspect, regional anisotropy and tilt of terrain. Analysis of digital elevation models, by means of numerical geomorphology, provides a means of recognizing fractures and characterizing the tectonics of an area in a quantitative way. The objective of this study is to investigate the use of numerical geomorphometric methods for tectonic,geomorphology through a case study. The methodology is based on general geomorphometry. In this study, the basic geometric attributes (elevation, slope, aspect and curvatures) are complemented with the automatic extraction of ridge and valley lines and surface specific points. Evans' univariate and bivariate methodology of general geomorphometry is extended with texture (spatial) analysis methods, such as trend, autocorrelation, spectral, and network analysis. Terrain modelling is implemented with the integrated use of: (1) numerical differential geometry; (2) digital drainage network analysis; (3) digital image processing; and (4) statistical and geostatistical analysis. Application of digital drainage network analysis is emphasized. A simple shear model with principal displacement zone with an NE-SW orientation can account for most of the the morphotectonic features found in the basin by geological and digital tectonic geomorphology analyses. Copyright (C) 2003 John Wiley Sons. Ltd. LA - English DB - MTMT ER -